In 2022, AGI AI Private Limited (AGI AI) built AI quantitative trading, wholly owned by AGI AI to provide the core technology and principles of underlying logic. We develop strategic plan as well as goals for long-term AI+ finance.
AGI AI has structured its strategic development plan into five steps.
Step 1. Creating The Perfect Combination of AI + Finance: Automated factor discovery, knowledge graph, graph computing, and enhanced analytics based on privacy protection will deliver greater value.
AGI AI has estimated that AI technologies could create up to $1 trillion in incremental value for the global banking industry each year; Andreas Kaplan and Michael Haenlein define AI as “a system’s ability to correctly interpret external data, to learn from such data and to use those learnings to achieve specific goals and tasks through flexible adaptation”. Today, AI technology has made even greater strides by making it possible to achieve specific goals and tasks through flexible adaptation for the future, AI technology has come a long way, bringing more far-reaching changes to many industries, including finance.
Step 2. Blockchain: Intelligent futures, Zero Knowledge Proof (ZKP) and Cross-chain Technology brings new opportunities.
The Distributed Ledger Technologies (DLT) is another important technology for building the financial ecosystem, where key technologies such as Smart Contract, Zero Knowledge Proof, distributed data storage and exchange enables applications such as Digital wallets, digital assets, Decentralized Finance (DeFi), Non-Fungible Token (NFT) and other applications. Cross-chain technologies are dedicated to solving the issues of chain-based interactions between enterprises that are deployed on different blockchains.
Step 3. Cloud Computing: Agility, high flexibility, microservices cloud-native advantages are given more priority.
AGI AI research indicates that the cloud will be worth more than $1 trillion in EBITDA (earnings before taxes, interest, depreciation and amortization) for Global Top 500 companies by 2030. Effective cloud technology utilization can increase development and maintenance efficiency of migrated applications by 38%, enhance infrastructure cost efficiency by 29% and reduces downtime of migration applications by approximately 57%. This leads to a 26% reduction in breach costs. Simultaneously, the cloud technology can improve the integrity of platforms through automated embedded security processes and controls such as DevSecOps, and these capabilities reduce technical risk through a consistent technology stack across multiple platforms.
Step 4. Internet of Things: Everything is connected to build a new integrity system and unlimited potential for integration with financial services.
AGI AI believes that the Internet of Things will bring revolutionary changes to the world in the coming years, in which connected devices will play an important role. In terms of technical architecture, the AGI system consists of intelligent sensing and sensing systems. Technically, it consist of three levels: wireless communication network, application and operation support.
First, the continuous development of sensing technology, such as RFID tag technology is a comprehensive technology that integrates wireless radio frequency technology and embedded technology. RFID has a broad application prospect in automatic identification and item logistics management.
Second, the growing diversity of the Internet of Things (IoT) communication solutions, wired and wireless networks, Near-field Communication Solutions (NFC), Low Power Wide Area Network (LPWN), Narrowband Internet of Things (NBI), interconnection of end devices and centralized control management provide communication network security.
Third is the development of embedded system technology and intelligent technology. Through the embedding of intelligent system in the devices enables the devices to have certain intelligence to achieve active or passive communication.
Step 5. Hyper Automation: Robotic Process Automation (RPA) technologies and other automated technologies as a substitute for manual labor.
Hyper-automation is the introduction of artificial intelligence, deep learning, event-driven programming software and robotics for business processes. These technologies or digital solutions can help improve the efficiency of decision-making and work automation.
AGI AI believes that these key technologies do not exist in isolation. These technologies are intertwined, embedded and integrated, thus creating tremendous energy and triggering changes in the industry. These core technology combinations are now being applied in financial segments, and will have greater value in the future and influence the competitive market structure of FinTech and the financial industry. Both traditional financial institutions and innovative fintech companies will need to focus on value areas, develop new technologies and reserve capabilities to build core competencies in the technology aspect.
AGI AI brings the combination of three technological developments – robotics, artificial intelligence and new financial technologies – that will revolutionize the world.
Dr. Peter Frankopan, a historian and veteran researcher at Worcester College, Oxford, notes that the shift is not as frightening as a flood. He said: “Transformation is absolutely normal and irresistible”. In this new era of technological innovation, investors facing the shift may be unable to do anything about it, but they can move with the trend and benefit from it.
AGI AI’s mission and vision is to maintain the originality and allow AI to lead human advancement. AGI AI is dedicated to have AI contribute to the development of economy, society and human beings to build a better future together. In 2018, AGI AI established the AGI AI Research Center, aiming to deepen the integration of AI with traditional finance and launch the AGI AI Intelligent Trading Bot and Intelligent Financial Expert Service Program in 2022.
AGI AI is recruiting a team of dedicated employees and communities with strong consensus and a passionate workforce. Join us to form a global AGI AI digital finance eco-community. Together we shall witness the development and rise of AGI AI and share the success of AI quantitative trading investments!
I’ve been regularly sought out by media outlets for my insights on the latest industry developments, and my work has been featured in major publications such as CoinDesk, Bitcoin Magazine, and Business Insider. I am also a founding member of Crypto NYC, one of the largest cryptocurrency meetups in the world, where I educate others about this fascinating new technology.